Cluster analysis based fringe-activity range detector

Abstract A novel clustering-analysis approach is proposed in this work. This approach addresses the fringe-activity range-detection issue often encountered in vertical-scanning wideband interferometry. The proposed approach exploits the fact that the fringe signal formed by a wideband light source, which is composed of deterministic signals and a random noise signal. As a result, the number of clusters in the proposed clustering method can be easily specified as 2, in advance. The proposed analysis procedure and its development using a k-means method-based clustering scheme are described in this paper. To the best of the authors’ knowledge, this is the first investigation report regarding fringe-activity range detection. The details of the proposed approach are introduced within the framework of femtosecond optical frequency comb-based interferometry. Experimental results demonstrate the efficiency of the proposed algorithm with respect to the fringe-activity range detection.

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